{"id":"W4231340977","doi":"10.1155/2011/769680","title":"Welcome to the 1st Congress of the International Academy of Digital Pathology","year":2011,"lang":"en","type":"article","venue":"Analytical Cellular Pathology","topic":"AI in cancer detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital pathology; Library science; Pathology; Political science; Medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003946155,0.0001052146,0.0002030292,0.00009041115,0.00004713062,0.00001652062,0.001908462,0.0001271019,0.00006553403],"category_scores_gemma":[0.0001542286,0.00006450056,0.0001306448,0.0003498853,0.00039085,0.000129063,0.0008456959,0.0002452104,0.00005369289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002925859,"about_ca_system_score_gemma":0.0000326986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008335135,"about_ca_topic_score_gemma":0.000004477311,"domain_scores_codex":[0.9987343,0.0001242183,0.0003568362,0.0003114759,0.000262305,0.0002108969],"domain_scores_gemma":[0.9991053,0.0001008571,0.0001677666,0.0004862503,0.00008696749,0.00005288943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001713913,0.0006910995,0.06278777,0.00005467689,0.0003257727,0.0003531857,0.005470337,0.0003413777,0.06058441,0.8264721,0.008710712,0.03403713],"study_design_scores_gemma":[0.002020189,0.001733836,0.1869723,0.000104308,0.0002383667,0.001568817,0.0004293388,0.05972155,0.5781288,0.1100357,0.05792936,0.001117529],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5977625,0.0001447274,0.3689838,0.01490593,0.004218529,0.0004278177,0.00003993187,0.00006984538,0.01344694],"genre_scores_gemma":[0.997992,0.000006001753,0.0009842539,0.0005766125,0.0001007649,0.000008899427,7.711348e-7,0.000006802932,0.0003239093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7164364,"threshold_uncertainty_score":0.3546428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04453798976563801,"score_gpt":0.2671184635165611,"score_spread":0.2225804737509231,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}